Data Engineer (Pune Division)

Data Engineer (Pune Division)

23 Aug
|
Yash Technologies
|
Pune Division

23 Aug

Yash Technologies

Pune Division

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Microsoft Fabric Professionals in the following areas :
Job Description
Experience: 6+ years
We are looking for a robust Microsoft Fabric Data Engineer / Power BI Developer with
6+ years of hands-on experience
designing and delivering scalable data engineering, analytics, and enterprise reporting solutions. The ideal candidate will bring strong expertise in
Microsoft Fabric, Power BI, SQL, data modeling, ETL/ELT pipelines, Lakehouse/Warehouse architecture, semantic models, and reporting-ready datasets
. Experience with Azure data services, SAP data,



and business stakeholder collaboration will be an added advantage.

Required Skills
- 6+ years of overall experience in data engineering, business intelligence, analytics, or enterprise reporting.
- Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows, Notebooks, Semantic Models, and Power BI.
- Experience with medallion architecture, Lakehouse patterns, data warehouse design, dimensional modeling, and reporting-ready datasets.
- Hands-on experience building and maintaining ETL/ELT pipelines, data ingestion workflows, transformation logic, and orchestration processes.
- Strong SQL skills, including optimized query writing, complex data analysis, and performance tuning support.
- Ability to translate business requirements into scalable data pipelines, semantic models, and analytical datasets.
- Experience with source-to-target mapping

📌 Data Engineer (Pune Division)
🏢 Yash Technologies
📍 Pune Division

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